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Mathematical Science - Mathematical Science

IBM mathematicians have made contributions to state-of-the-art algorithms for linear, non-linear, mixed-integer and derivative-free optimization, as well as new areas such as algorithmic game theory and quantum complexity. Working with IBM Business Consulting Services and the IBM Center for Business Optimization, researchers have access to an array of challenging problems that have resulted in innovative solutions and a deeper understanding of the fundamental theoretical issues underlying many business problems.

Open Collaborative Research:Optimizing capabilities to drill for petroleum Applied mathematicians from IBM Research, such as Andrew Conn, are working with the Norwegian University of Science and Technology to maximize oil exploration in the North Sea.

Open Collaborative Research:Finding a model for ill-posed problems An IBM Research collaboration with the University of British Columbia homes in on solving problems based on scant but reasonable information.

Simpler tools for more complex systems Optimization solutions are already used to solve work shift scheduling, transportation or finance problems -- and now, says Gabi Zodik, they will be used to automate the systems engineering design process. [IBM Research Blog]

The beauty and mystery of mathematics IBM researcher Cliff Pickover, author of The Math Book and winner of the 2011 Neumann Prize, blogs about the biennial Gathering 4 Gardner meeting. [A Smarter Planet Blog]